IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v93y2021ics0966692321001137.html
   My bibliography  Save this article

Modelling context-specific relationships between neighbourhood socioeconomic disadvantage and private car use

Author

Listed:
  • Feuillet, Thierry
  • Bulteau, Julie
  • Dantan, Sophie

Abstract

Car use generates negative externalities, which are responsible for many health, environmental and economic problems. To tackle this issue, more work is needed to identify better the correlates of car use, especially at the contextual level. In this study, a mobility-focused questionnaire involving 1722 working French adults living in the Paris area (France) was used to explore gender-stratified relationships between residential socioeconomic deprivation and car use as the main transport mode against public transport, after controlling for potential confounders. While the vast majority of similar studies have assumed linear and global statistical relationships, the present work involved a random slope hierarchical generalised additive modelling framework, which revealed both non-linear and territorially-varying relationships. Among women, living in a more deprived neighbourhood was associated with an increase in the odds of reporting car use up to a certain threshold, after which the relationship plateaued, while among men, this relationship is linearly negative. In the most deprived department of the Paris region (Seine-Saint-Denis), living in a more deprived neighbourhood was associated with a lower odds of car use among men while a more complex nonlinear bell-shaped relationship was observed among women. The opposite was found in the wealthiest department (Yvelines), with a negative relationship among women and a U-shaped one among men. In Paris inner city, again a strong opposite trend was distinguished according to sex, with a negative relationship among women. These findings suggest that spatial contexts, characterised by complex interactions between socioeconomic factors, the built environment and the distance to Paris, play the role of moderators in the relationship between residential deprivation and car use. In conclusion, this study reinforces the idea that environment-transport relationships should be understood through local analyses (e.g. random slope multilevel or spatially-varying coefficients models) rather than global ones only, in order to guide specific public policies more effectively.

Suggested Citation

  • Feuillet, Thierry & Bulteau, Julie & Dantan, Sophie, 2021. "Modelling context-specific relationships between neighbourhood socioeconomic disadvantage and private car use," Journal of Transport Geography, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:jotrge:v:93:y:2021:i:c:s0966692321001137
    DOI: 10.1016/j.jtrangeo.2021.103060
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692321001137
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2021.103060?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Brueckner, Jan K. & Thisse, Jacques-Francois & Zenou, Yves, 1999. "Why is central Paris rich and downtown Detroit poor?: An amenity-based theory," European Economic Review, Elsevier, vol. 43(1), pages 91-107, January.
    3. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    4. Ding, Chuan & Cao, Xinyu, 2019. "How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model," Journal of Transport Geography, Elsevier, vol. 75(C), pages 37-45.
    5. Hensher, David A., 2008. "Empirical approaches to combining revealed and stated preference data: Some recent developments with reference to urban mode choice," Research in Transportation Economics, Elsevier, vol. 23(1), pages 23-29, January.
    6. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions," Transport Policy, Elsevier, vol. 99(C), pages 95-119.
    7. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    8. Chiou, Yu-Chiun & Jou, Rong-Chang & Yang, Cheng-Han, 2015. "Factors affecting public transportation usage rate: Geographically weighted regression," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 161-177.
    9. Curl, Angela & Clark, Julie & Kearns, Ade, 2018. "Household car adoption and financial distress in deprived urban communities: A case of forced car ownership?," Transport Policy, Elsevier, vol. 65(C), pages 61-71.
    10. Bhat, Chandra R. & Castelar, Saul, 2002. "A unified mixed logit framework for modeling revealed and stated preferences: formulation and application to congestion pricing analysis in the San Francisco Bay area," Transportation Research Part B: Methodological, Elsevier, vol. 36(7), pages 593-616, August.
    11. Licaj, Idlir & Haddak, Mouloud & Pochet, Pascal & Chiron, Mireille, 2012. "Individual and contextual socioeconomic disadvantages and car driving between 16 and 24years of age: a multilevel study in the Rhône Département (France)," Journal of Transport Geography, Elsevier, vol. 22(C), pages 19-27.
    12. Yang, Wenyue & Chen, Huiling & Wang, Wulin, 2020. "The path and time efficiency of residents' trips of different purposes with different travel modes: An empirical study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 88(C).
    13. Benoît Cornut & Jean-Loup Madre, 2017. "A longitudinal perspective on car ownership and use in relation with income inequalities in the Paris metropolitan area," Transport Reviews, Taylor & Francis Journals, vol. 37(2), pages 227-244, March.
    14. Bhat, Chandra R., 2000. "A multi-level cross-classified model for discrete response variables," Transportation Research Part B: Methodological, Elsevier, vol. 34(7), pages 567-582, September.
    15. Nathalie Picard & Sophie Dantan & André Palma, 2018. "Mobility decisions within couples," Theory and Decision, Springer, vol. 84(2), pages 149-180, March.
    16. Perchoux, Camille & Kestens, Yan & Thomas, Frédérique & Hulst, Andraea Van & Thierry, Benoit & Chaix, Basile, 2014. "Assessing patterns of spatial behavior in health studies: Their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study)," Social Science & Medicine, Elsevier, vol. 119(C), pages 64-73.
    17. Simon N. Wood, 2003. "Thin plate regression splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 95-114, February.
    18. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    19. Goodman, Anna & Guell, Cornelia & Panter, Jenna & Jones, Natalia R. & Ogilvie, David, 2012. "Healthy travel and the socio-economic structure of car commuting in Cambridge, UK: A mixed-methods analysis," Social Science & Medicine, Elsevier, vol. 74(12), pages 1929-1938.
    20. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days under restrictions," Transport Policy, Elsevier, vol. 96(C), pages 76-93.
    21. Moody, Joanna & Zhao, Jinhua, 2019. "Car pride and its bidirectional relations with car ownership: Case studies in New York City and Houston," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 334-353.
    22. Salon, Deborah, 2015. "Heterogeneity in the relationship between the built environment and driving: Focus on neighborhood type and travel purpose," Research in Transportation Economics, Elsevier, vol. 52(C), pages 34-45.
    23. Dobbs, Lynn, 2005. "Wedded to the car: women, employment and the importance of private transport," Transport Policy, Elsevier, vol. 12(3), pages 266-278, May.
    24. Julie Bulteau & Thierry Feuillet & Sophie Dantan, 2019. "Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses," Post-Print hal-04362193, HAL.
    25. Lucas, Karen & Philips, Ian & Mulley, Corinne & Ma, Liang, 2018. "Is transport poverty socially or environmentally driven? Comparing the travel behaviours of two low-income populations living in central and peripheral locations in the same city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 622-634.
    26. Wheaton, William C, 1977. "Income and Urban Residence: An Analysis of Consumer Demand for Location," American Economic Review, American Economic Association, vol. 67(4), pages 620-631, September.
    27. Iragaël Joly & Sophie Masson & Romain Petiot, 2006. "Les déterminants de la demande en transports collectifs urbains : comparaison internationale et analyse économétrique," Post-Print hal-03062745, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Charreire, H. & Roda, C. & Feuillet, T. & Piombini, A. & Bardos, H. & Rutter, H. & Compernolle, S. & Mackenbach, J.D. & Lakerveld, J. & Oppert, J.M., 2021. "Walking, cycling, and public transport for commuting and non-commuting travels across 5 European urban regions: Modal choice correlates and motivations," Journal of Transport Geography, Elsevier, vol. 96(C).
    2. Julie Bulteau & Thierry Feuillet & Sophie Dantan & Souhir Abbes, 2023. "Encouraging carpooling for commuting in the Paris area (France): which incentives and for whom?," Transportation, Springer, vol. 50(1), pages 43-62, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ding, Chuan & Cao, Xinyu & Yu, Bin & Ju, Yang, 2021. "Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 22-35.
    2. Ji, Shujuan & Liu, Xiaojie & Wang, Yuanqing, 2024. "The role of road infrastructures in the usage of bikeshare and private bicycle," Transport Policy, Elsevier, vol. 149(C), pages 234-246.
    3. Sophie Dantan & Nathalie Picard, 2016. "Effect Of Borrowing Constraints On Location Choice: Evidence From The Paris Region," Working Papers hal-01294215, HAL.
    4. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    5. Laviolette, Jérôme & Morency, Catherine & Waygood, E.O.D., 2022. "A kilometer or a mile? Does buffer size matter when it comes to car ownership?," Journal of Transport Geography, Elsevier, vol. 104(C).
    6. Ulrich B. Morawetz & H. Allen Klaiber, 2022. "Does housing policy impact income sorting near urban amenities? Evidence from Vienna, Austria," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 411-454, October.
    7. Kim, Sung Hoo & Mokhtarian, Patricia L., 2018. "Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modelin," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 130-150.
    8. Guerra, Erick, 2015. "The geography of car ownership in Mexico City: a joint model of households’ residential location and car ownership decisions," Journal of Transport Geography, Elsevier, vol. 43(C), pages 171-180.
    9. Charles A. M. de Bartolome & Stephen L. Ross, 2002. "The Race to the Suburb: The Location of the Poor in a Metropolitan Area," Working papers 2002-02, University of Connecticut, Department of Economics, revised May 2008.
    10. Zhu, Pengyu & Tan, Xinying & Zhao, Songnian & Shi, Shuai & Wang, Mingshu, 2022. "Land use regulations, transit investment, and commuting preferences," Land Use Policy, Elsevier, vol. 122(C).
    11. Ao, Yibin & Yang, Dujuan & Chen, Chuan & Wang, Yan, 2019. "Exploring the effects of the rural built environment on household car ownership after controlling for preference and attitude: Evidence from Sichuan, China," Journal of Transport Geography, Elsevier, vol. 74(C), pages 24-36.
    12. van Duijn, Mark & Rouwendal, Jan, 2021. "Sorting based on urban heritage and income: Evidence from the Amsterdam metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 90(C).
    13. de Bartolome, Charles A.M. & Ross, Stephen L., 2007. "Community income distributions in a metropolitan area," Journal of Urban Economics, Elsevier, vol. 61(3), pages 496-518, May.
    14. Sophie Dantan & Nathalie Picard, 2019. "Borrowing constraints and location choice - Evidence from the Paris Region," THEMA Working Papers 2019-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    15. Duranton, Gilles & Puga, Diego, 2015. "Urban Land Use," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 467-560, Elsevier.
    16. Ikezoe, Keigo & Kiriyama, Eriko & Fujimura, Shuzo, 2021. "Analysis of car ownership motivation in Tokyo for sustainable mobility service and urban development," Transport Policy, Elsevier, vol. 114(C), pages 1-14.
    17. Vega-Gonzalo, Maria & Gomez, Juan & Christidis, Panayotis, 2023. "How has COVID-19 changed private car use in European urban areas? An analysis of the effect of socio-economic characteristics and mobility habits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    18. De Vos, Jonas & Cheng, Long & Kamruzzaman, Md. & Witlox, Frank, 2021. "The indirect effect of the built environment on travel mode choice: A focus on recent movers," Journal of Transport Geography, Elsevier, vol. 91(C).
    19. Ding, Chuan & Zhou, Xinyu & Jason Cao, Xinyu & Yang, Jiawen, 2023. "Spatial and mediation analysis of the influences of residential and workplace built environments on commuting by car," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    20. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:93:y:2021:i:c:s0966692321001137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.